From the Ground Up: Developing Your Artificial Intelligence Career

Thanks to big data and machine learning, more sophisticated artificial intelligence systems are around the corner. This means that it is a great time to master your technical skills and learn as much as you can about these emerging fields; jumping into the artificial intelligence career pool now could yield great results. Here are a few tips to help you prepare for your first steps toward a career in artificial intelligence.

Have a Basis First: Work on Your Foundation Skills

No matter how advanced you think you are when it comes to artificial intelligence, reviewing the basics will still do you a world of good. Before you dedicate yourself to a specialization like computer vision or natural language processing, master the basics and check to see if you’re having a good time. If you’re only pushing yourself forward because you hear artificial intelligence will be a lucrative career path, you may want to rethink your motivations. If you are genuinely enjoying yourself and you want to learn more, then brush off your computer and keep going; artificial intelligence may be the perfect fit for you.

Have the Right Phrases for Coding: Learn a Programming Language

One of the most prevalent concepts pushing artificial intelligence forward today is machine learning, and many machine learning models begin with a foundation written in a programming language. Python and R are the two most popular programming languages in the field of machine learning today, so it would be highly beneficial to learn both, but if you have to pick just one, go with Python. It is relatively fast compared to R, it is easier to learn, and it has a built-in community within the StackOverflow forums. There you can find support and even answers for many of your computer programming questions, so think of these resources as you delve into learning a programming language or two.

Crunching and Analyzing Big Data Numbers: Fundamentals of Math

Naturally, in the realm of data processing and data analysis, having a firm grasp of numbers is helpful. As you venture deeper into the realms of machine learning on your way to artificial intelligence, brushing up on your math skills is a great idea. While an ongoing study of and interest in math is the best possible option when it comes to a career in artificial intelligence, the three core math schools are linear algebra, probability and statistics, and calculus. If you only want to study the bare minimum, study those three subjects at length and really master them. They will take you a long way on your path to working in artificial intelligence.

Doing Work and Picking the Best Tools: Operating Systems

Nowadays, much of the research for artificial intelligence is done using Linux systems, but this isn’t the only option available to you. Windows and Mac generally support the tools and programs you’ll need to succeed, so feel free to experiment and see which tool set works best for you.

Artificial intelligence is a subject that requires technical specializations, but before you go down that road, brush up on the aforementioned subjects to build a strong learning base for yourself. It will give you great support as you move forward in your artificial intelligence career.

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